AceStack
AI / ML Architect with Strong Snowflake Exp
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Architect with strong Snowflake experience, offering a contract position in Salisbury, MD. Key skills include AI/ML frameworks, DevOps/MLOps, and cloud technologies. Proven experience in data science and architecture is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Salisbury, MD
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🧠 - Skills detailed
#Spark (Apache Spark) #Airflow #Dataiku #SQL (Structured Query Language) #DevSecOps #Keras #Python #Monitoring #Data Science #Visualization #Scala #GitHub #Security #Cloud #Microsoft Power BI #Grafana #PyTorch #BI (Business Intelligence) #Kafka (Apache Kafka) #ADLS (Azure Data Lake Storage) #Azure #DevOps #ML (Machine Learning) #SnowPipe #Data Processing #Storage #Snowflake #Data Pipeline #Deployment #Kubernetes #Angular #Data Ingestion #AI (Artificial Intelligence) #Prometheus #TensorFlow #Docker
Role description
Role: AI / ML Architect with strong snowflake Exp
Location: Salisbury, MD (Day 1 Onsite)
Contract
Job Description:
an experienced AI / ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust AI/ML systems. You will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance.
Responsibilities:
· Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
· Ensure the perspectives of DevOps/MLOps, DevSecOps, FinOps, and Governance are addressed.
· Leverage existing infrastructure wherever possible (Snowflake / Dataiku / Power BI / Azure).
· Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
· Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
· Ensure scalability, reliability, and security of AI/ML solutions in production environments.
· Oversee the integration of AI/ML models into existing products and services.
· Establish and enforce best practices for model versioning, reproducibility, and governance.
· Mentor and guide junior team members in AI/ML methodologies and architectural patterns.
· Stay current with industry trends, emerging technologies, and research in AI/ML.
Technologies:
· ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
· DevOps / MLOps: GitHub, GitHub Actions, CI/CD pipelines
· DevSecOps: RBAC, SSO / SCIM, OAuth, Snowflake’s security model
· Data Visualization: Power BI, Angular
· Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
· Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs
· Data Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables ), Python, SQL
· Compute: Snowflake Warehouses & Compute Pools, Azure VM’s, Kubernetes, Docker
· Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS
· Cloud Platforms: Azure
Role: AI / ML Architect with strong snowflake Exp
Location: Salisbury, MD (Day 1 Onsite)
Contract
Job Description:
an experienced AI / ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust AI/ML systems. You will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance.
Responsibilities:
· Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
· Ensure the perspectives of DevOps/MLOps, DevSecOps, FinOps, and Governance are addressed.
· Leverage existing infrastructure wherever possible (Snowflake / Dataiku / Power BI / Azure).
· Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
· Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
· Ensure scalability, reliability, and security of AI/ML solutions in production environments.
· Oversee the integration of AI/ML models into existing products and services.
· Establish and enforce best practices for model versioning, reproducibility, and governance.
· Mentor and guide junior team members in AI/ML methodologies and architectural patterns.
· Stay current with industry trends, emerging technologies, and research in AI/ML.
Technologies:
· ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
· DevOps / MLOps: GitHub, GitHub Actions, CI/CD pipelines
· DevSecOps: RBAC, SSO / SCIM, OAuth, Snowflake’s security model
· Data Visualization: Power BI, Angular
· Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
· Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs
· Data Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables ), Python, SQL
· Compute: Snowflake Warehouses & Compute Pools, Azure VM’s, Kubernetes, Docker
· Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS
· Cloud Platforms: Azure
